Application of SVMs for Colour Classification and Collision Detection with AIBO Robots

Part of Advances in Neural Information Processing Systems 16 (NIPS 2003)

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Michael Quinlan, Stephan Chalup, Richard Middleton


This article addresses the issues of colour classification and collision de- tection as they occur in the legged league robot soccer environment of RoboCup. We show how the method of one-class classification with sup- port vector machines (SVMs) can be applied to solve these tasks satisfac- torily using the limited hardware capacity of the prescribed Sony AIBO quadruped robots. The experimental evaluation shows an improvement over our previous methods of ellipse fitting for colour classification and the statistical approach used for collision detection.